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Selecciona los temas de tu interés y recibe en tu correo las publicaciones más actuales
Balwinder-Singh Meha Jain (2023, [Artículo])
One way to meet growing food demand is to increase yields in regions that have large yield gaps, including smallholder systems. To do this, it is important to quantify yield gaps, their persistence, and their drivers at large spatio-temporal scales. Here we use microsatellite data to map field-level yields from 2014 to 2018 in Bihar, India and use these data to assess the magnitude, persistence, and drivers of yield gaps at the landscape scale. We find that overall yield gaps are large (33% of mean yields), but only 17% of yields are persistent across time. We find that sowing date, plot area, and weather are the factors that most explain variation in yield gaps across our study region, with earlier sowing associated with significantly higher yield values. Simulations suggest that if all farmers were able to adopt ideal management strategies, including earlier sowing and more irrigation use, yield gaps could be closed by up to 42%. These results highlight the ability of micro-satellite data to understand yield gaps and their drivers, and can be used to help identify ways to increase production in smallholder systems across the globe.
Yield Drivers Yield Mapping CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MICROSATELLITES YIELD GAP SMALLHOLDERS FOOD PRODUCTION YIELD INCREASES
Local markets and food security. The case of the Milpera and Puuc regions in Yucatan
Ana Laura Bojórquez Carrillo Monserrat Vargas Jiménez Mireya Noemi Hernández Islas (2023, [Artículo, Artículo])
Food insecurity is a complex problem worldwide. A major part of this problem is the food supply. Local markets can represent a strategy for building social capital, as well as strategies for subsistence and sustainability of food value chains, contributing to food security and its effects. The objective of this research is to determine if the existence of a municipal market in the Milpera and Puuc regions of Yucatán favors the existence of food security, the consumption or the expense of natural foods. The population is located in 18 municipalities of Yucatán, Mexico. To carry out this study, a cross-sectional, non-experimental study, with a quantitative approach and correlational scope. The main techniques that were applied were descriptive statistics and contingency tables with respect to 6 hypotheses. This work shows that the existence of markets in the communities makes a significant difference because it positively impacts the food security of the inhabitants, since it allows them to have access to a wider variety of products and at the same time, favors the active dynamics of the economy of the community.
Local markets Food safety Local development Food sovereignty Rural areas Mercados locales Seguridad alimentaria Desarrollo local Soberanía alimentaria Zonas rurales CIENCIAS SOCIALES CIENCIAS SOCIALES
A Novel Technique for Classifying Bird Damage to Rapeseed Plants Based on a Deep Learning Algorithm.
Ali Mirzazadeh Afshin Azizi Yousef Abbaspour_Gilandeh José Luis Hernández-Hernández Mario Hernández Hernández Iván Gallardo Bernal (2021, [Artículo])
Estimation of crop damage plays a vital role in the management of fields in the agricultura sector. An accurate measure of it provides key guidance to support agricultural decision-making systems. The objective of the study was to propose a novel technique for classifying damaged crops based on a state-of-the-art deep learning algorithm. To this end, a dataset of rapeseed field images was gathered from the field after birds¿ attacks. The dataset consisted of three classes including undamaged, partially damaged, and fully damaged crops. Vgg16 and Res-Net50 as pre-trained deep convolutional neural networks were used to classify these classes. The overall classification accuracy reached 93.7% and 98.2% for the Vgg16 and the ResNet50 algorithms, respectively. The results indicated that a deep neural network has a high ability in distinguishing and categorizing different image-based datasets of rapeseed. The findings also revealed a great potential of Deep learning-based models to classify other damaged crops.
rapeseed classification damaged crops deep neural networks INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ALIMENTOS
Lesley Boyd sridhar bhavani Cristobal Uauy Annemarie Fejer Justesen Mogens Hovmoller (2022, [Artículo])
Cereals and Grains Pathogen Diversity Puccinia f. sp. tritici Stripe Rust Yellow Rust CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CEREALS FIELD CROPS FUNGI PATHOGENICITY RUSTS TRITICUM AESTIVUM
Frédéric Baudron Ken Giller (2022, [Artículo])
Land Sparing Land Sharing Human-Wildlife Conflicts CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BIODIVERSITY HOUSEHOLD SURVEYS LAND COVER LANDSCAPE MAMMALS CASH CROPS HUMAN-WILDLIFE RELATIONS LAND USE CHANGE
Xu Wang Sandesh Kumar Shrestha Philomin Juliana Suchismita Mondal Francisco Pinto Govindan Velu Leonardo Abdiel Crespo Herrera JULIO HUERTA_ESPINO Ravi Singh Jesse Poland (2023, [Artículo])
New Crop Varieties Plant Breeding Programs Yield Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA LEARNING GRAIN YIELDS WHEAT BREEDING FOOD SECURITY
Vinod Mishra Ramesh Chand UTTAM KUMAR Apurba Chowdhury arun joshi (2022, [Artículo])
Spot Blotch Recombinant Inbred Lines Bulk Segregant Analysis CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT FOOD SECURITY SINGLE NUCLEOTIDE POLYMORPHISM DISEASE RESISTANCE
Angela Meentzen (2023, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENDER EQUALITY FOOD SYSTEMS CLIMATE CHANGE WOMEN'S PARTICIPATION
Khondoker Mottaleb Gideon Kruseman Sieglinde Snapp (2022, [Artículo])
Violent conflict is a major cause of acute food crises. In 2021, at least 155 million people in 10 countries were severely food insecure and eight of those countries were experiencing armed conflict. On February 24, 2022, an armed conflict between Russian Federation (Russia) and Ukraine escalated. As Russia and Ukraine are major wheat exporters, this will aggravate the already precarious food security situation in many developing countries by disrupting wheat production and export and by accelerating price hikes in import-dependent developing countries. This study examines the potential impacts of this ongoing armed conflict between Russia and Ukraine on wheat price, consumption, and calorie intake from wheat. In doing so, it applies the conditional mixed process estimation procedure using information collected from 163 countries and territories for the years 2016–2019 from online database of the Food and Agriculture Organization of the United Nations (FAO). The study shows that, on average, a 1% decrease in the global wheat trade could increase the producers' price of wheat by 1.1%, and a 1% increase in the producers' price could reduce the yearly per capita wheat consumption by 0.59%, daily calorie intake by 0.54% and protein intake by 0.64% in the sampled countries. Based on this, the study demonstrates that a 50% reduction in wheat exports by Russia and Ukraine could increase the producers’ price of wheat by 15%, which would induce a reduction in wheat consumption and dietary energy intake by at least 8%. Since wheat export has reduced from both Russia and Ukraine, to avoid a food crisis in developing countries, policies are suggested, including near term improvement of domestic wheat production by promoting improved agronomic practices to close yield gaps to meet a substantial portion of wheat self-sufficiency goals. In the long run, countries in Africa, East Asia and South America can explore expanding wheat into new land area. International donor agencies can play a key role in supporting the ongoing wheat research and development activities.
Export-Import CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ARMED CONFLICTS CALORIES CONSUMPTION ELASTICITY FOOD SECURITY PRICES PRODUCTION WHEAT
Jelle Van Loon (2022, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA INNOVATION SYSTEMS FOOD SYSTEMS AGRIFOOD SYSTEMS DATA PROCESSING